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Applied Sciences
Special Issues
Multi-Agent System Control: Recent Theories and Applications
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Multi-Agent System Control: Recent Theories and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (1 February 2023) | Viewed by 1545

Special Issue Editors

Prof. Dr. Jianbo Su

E-Mail Website
Guest Editor
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: robotics; sensor-based robotics; pattern recognition; multi-sensor information fusion; multi-agent coordination; networked robot; embed systems
Dr. Dengpeng Xing

E-Mail Website
Guest Editor
Institute of Automation, Chinese Academy of Sciences, Beijing, China
Interests: robotics; software engineering
Prof. Dr. Xusheng Lei

E-Mail Website
Guest Editor
Science and Technology on Inertial Laboratory, School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China
Interests: UAV; sensor information processing

Special Issue Information

Dear Colleagues,

Multi-agent systems (MAS) use multiple interacting intelligent agents to solve problems that are difficult or impossible for an individual agent to solve. MAS can be applied in not only academic research, but also in industry and many other areas, such as computer games, networking and mobile technologies, transportation, logistics, manufacturing, power systems, smartgrids and geographic information systems (GIS). This Special Issue is dedicated to the control and communications of multi-agent systems (MAS). We invite researchers to submit original quality studies, urging them to address the main sub-disciplines, which include, but are not limited to, the following:

  • agent-oriented software engineering;
  • beliefs, desires, and intentions (BDI);
  • cooperation and coordination;
  • distributed constraint optimization (DCOP);
  • organization;
  • communication;
  • negotiation;
  • distributed problem solving;
  • multi-agent learning;
  • agent mining;
  • scientific communities (e.g., on biological flocking, language evolution, and economics);
  • dependability and fault-tolerance;
  • robotics, multi-robot systems (MRS), robotic clusters;

Prof. Dr. Jianbo Su
Dr. Dengpeng Xing
Prof. Dr. Xusheng Lei
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multi-agent systems (MAS)
  • Internet of Things (IoT)
  • wireless sensor networks
  • data aggregation
  • remote sensing
  • distributed computing
  • parallel computing
  • cloud computing
  • artificial intelligence (AI)
  • multi-robot systems (MRS)
  • complex systems

Published Papers (1 paper)

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Research

14 pages, 2242 KiB  
Article
PriRepVGG: Privacy-Preserving 3-Party Inference Framework for Image-Based Defect Detection
by Jiafu Liu, Zhiyuan Yao, Shirui Guo, Hongjun Xie and Genke Yang
Appl. Sci. 2022, 12(19), 10168; https://doi.org/10.3390/app121910168 - 10 Oct 2022
Cited by 1 | Viewed by 1239
Abstract
Image classification is widely used in industrial defect detection, medical diagnosis, social welfare, and other fields, in which privacy and security of models and data must be involved. For example, in diamond synthesis, the diamond substrate image annotation data and the defect detection [...] Read more.
Image classification is widely used in industrial defect detection, medical diagnosis, social welfare, and other fields, in which privacy and security of models and data must be involved. For example, in diamond synthesis, the diamond substrate image annotation data and the defect detection model are of value for conservation. Based on ensuring inference efficiency and the security of these private data intellectual property, the 3-party secure inference based on secure multi-party computation (MPC) can be adopted. MPC allows parties to use neural networks while preserving their input privacy for collaborative computing, but it will lead to huge communication and memory consumption. This paper propose PriRepVGG, a lightweight privacy-preserving image-based defect detection framework for 3-party. In this work, firstly, This work optimized the division and added an AdaptiveAvgpool layer in MPC framework FALCON; then, This work ported the inference architecture of the RegVGG network into FALCON creatively. Our work applied PriRepVGG to the secure inference of the diamond substrates defect detection under the data server, model server, and compute server settings, which can be carried out in batches with a low misjudgment rate and verify the feasibility of image-based secure inference with a lightweight network in an industrial case under MPC. Full article
(This article belongs to the Special Issue Multi-Agent System Control: Recent Theories and Applications)
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